Class QuestionAnsweringRelevanceInstance.Builder (3.50.0)

public static final class QuestionAnsweringRelevanceInstance.Builder extends GeneratedMessageV3.Builder<QuestionAnsweringRelevanceInstance.Builder> implements QuestionAnsweringRelevanceInstanceOrBuilder

Spec for question answering relevance instance.

Protobuf type google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInstance

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public QuestionAnsweringRelevanceInstance.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

build()

public QuestionAnsweringRelevanceInstance build()
Returns
Type Description
QuestionAnsweringRelevanceInstance

buildPartial()

public QuestionAnsweringRelevanceInstance buildPartial()
Returns
Type Description
QuestionAnsweringRelevanceInstance

clear()

public QuestionAnsweringRelevanceInstance.Builder clear()
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

clearContext()

public QuestionAnsweringRelevanceInstance.Builder clearContext()

Optional. Text provided as context to answer the question.

optional string context = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public QuestionAnsweringRelevanceInstance.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

clearInstruction()

public QuestionAnsweringRelevanceInstance.Builder clearInstruction()

Required. The question asked and other instruction in the inference prompt.

optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public QuestionAnsweringRelevanceInstance.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

clearPrediction()

public QuestionAnsweringRelevanceInstance.Builder clearPrediction()

Required. Output of the evaluated model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

clearReference()

public QuestionAnsweringRelevanceInstance.Builder clearReference()

Optional. Ground truth used to compare against the prediction.

optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

clone()

public QuestionAnsweringRelevanceInstance.Builder clone()
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

getContext()

public String getContext()

Optional. Text provided as context to answer the question.

optional string context = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The context.

getContextBytes()

public ByteString getContextBytes()

Optional. Text provided as context to answer the question.

optional string context = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for context.

getDefaultInstanceForType()

public QuestionAnsweringRelevanceInstance getDefaultInstanceForType()
Returns
Type Description
QuestionAnsweringRelevanceInstance

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getInstruction()

public String getInstruction()

Required. The question asked and other instruction in the inference prompt.

optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
String

The instruction.

getInstructionBytes()

public ByteString getInstructionBytes()

Required. The question asked and other instruction in the inference prompt.

optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ByteString

The bytes for instruction.

getPrediction()

public String getPrediction()

Required. Output of the evaluated model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
String

The prediction.

getPredictionBytes()

public ByteString getPredictionBytes()

Required. Output of the evaluated model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ByteString

The bytes for prediction.

getReference()

public String getReference()

Optional. Ground truth used to compare against the prediction.

optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The reference.

getReferenceBytes()

public ByteString getReferenceBytes()

Optional. Ground truth used to compare against the prediction.

optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for reference.

hasContext()

public boolean hasContext()

Optional. Text provided as context to answer the question.

optional string context = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the context field is set.

hasInstruction()

public boolean hasInstruction()

Required. The question asked and other instruction in the inference prompt.

optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the instruction field is set.

hasPrediction()

public boolean hasPrediction()

Required. Output of the evaluated model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the prediction field is set.

hasReference()

public boolean hasReference()

Optional. Ground truth used to compare against the prediction.

optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the reference field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(QuestionAnsweringRelevanceInstance other)

public QuestionAnsweringRelevanceInstance.Builder mergeFrom(QuestionAnsweringRelevanceInstance other)
Parameter
Name Description
other QuestionAnsweringRelevanceInstance
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public QuestionAnsweringRelevanceInstance.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public QuestionAnsweringRelevanceInstance.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final QuestionAnsweringRelevanceInstance.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

setContext(String value)

public QuestionAnsweringRelevanceInstance.Builder setContext(String value)

Optional. Text provided as context to answer the question.

optional string context = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The context to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setContextBytes(ByteString value)

public QuestionAnsweringRelevanceInstance.Builder setContextBytes(ByteString value)

Optional. Text provided as context to answer the question.

optional string context = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for context to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public QuestionAnsweringRelevanceInstance.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

setInstruction(String value)

public QuestionAnsweringRelevanceInstance.Builder setInstruction(String value)

Required. The question asked and other instruction in the inference prompt.

optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value String

The instruction to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setInstructionBytes(ByteString value)

public QuestionAnsweringRelevanceInstance.Builder setInstructionBytes(ByteString value)

Required. The question asked and other instruction in the inference prompt.

optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value ByteString

The bytes for instruction to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setPrediction(String value)

public QuestionAnsweringRelevanceInstance.Builder setPrediction(String value)

Required. Output of the evaluated model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value String

The prediction to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setPredictionBytes(ByteString value)

public QuestionAnsweringRelevanceInstance.Builder setPredictionBytes(ByteString value)

Required. Output of the evaluated model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value ByteString

The bytes for prediction to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setReference(String value)

public QuestionAnsweringRelevanceInstance.Builder setReference(String value)

Optional. Ground truth used to compare against the prediction.

optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The reference to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setReferenceBytes(ByteString value)

public QuestionAnsweringRelevanceInstance.Builder setReferenceBytes(ByteString value)

Optional. Ground truth used to compare against the prediction.

optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for reference to set.

Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public QuestionAnsweringRelevanceInstance.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final QuestionAnsweringRelevanceInstance.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
QuestionAnsweringRelevanceInstance.Builder
Overrides